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Prosyn—an MINLP process synthesizer
Computers & Chemical Engineering, 1990Abstract This paper reports the development of the program PROSYN, an automated implementation of the modelling/decomposition (M/D) strategy by Kocis and Grossmann (Computers chem. Engng 13, 797–819, 1989) for the MINLP optimization of process flowsheets.
Z. Kravanja, I.E. Grossmann
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Continuous Reformulation of MINLP Problems
2010The solution of mixed-integer nonlinear programming (MINLP) problems often suffers from a lack of robustness, reliability, and efficiency due to the combined computational challenges of the discrete nature of the decision variables and the nonlinearity or even nonconvexity of the equations.
Korbinian Kraemer, Wolfgang Marquardt
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Gemischt-ganzzahlige nichtlineare Optimierungsprobleme (MINLPs)
2019In diesem Kapitel fuhren wir gemischt-ganzzahlige nichtlineare Optimierungsprobleme (MINLPs) ein und diskutieren klassische Verfahren zu ihrer Losung. Wie wir im vorherigen Kapitel gesehen haben, treten solche Optimierungsprobleme z. B. dann auf, wenn wir die Physik eines Versorgungsnetzes hinreichend genau modellieren wollen.
Lars Schewe, Martin Schmidt
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2008
The optimal design of water distribution networks is a complex problem even in its simplest formulation, where only the maintenance of a minimum pressure is required. This paper compares the best solutions obtained using different optimization algorithms: the BONMIN Branch and Bound algorithm, which directly tackles the MINLP (mixed integer non-linear ...
BRAGALLI, CRISTIANA +4 more
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The optimal design of water distribution networks is a complex problem even in its simplest formulation, where only the maintenance of a minimum pressure is required. This paper compares the best solutions obtained using different optimization algorithms: the BONMIN Branch and Bound algorithm, which directly tackles the MINLP (mixed integer non-linear ...
BRAGALLI, CRISTIANA +4 more
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On Solving Nonconvex MINLP Problems with SHOT
2019The Supporting Hyperplane Optimization Toolkit (SHOT) solver was originally developed for solving convex MINLP problems, for which it has proven to be very efficient. In this paper, we describe some techniques and strategies implemented in SHOT for improving its performance on nonconvex problems.
Lundell Andreas, Kronqvist Jan
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Mixed-Integer Nonlinear Programming Problems (MINLPs)
1999Mixed-integer problems are those that involve both continuous and integer variables. The introduction of integer variables allows the modeling of complex decisions through graph theoretic representations denoted as superstructures (Floudas, 1995). This representation leads to the simultaneous determination of the optimal structure of a network and its ...
Christodoulos A. Floudas +8 more
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A Good Recipe for Solving MINLPs
2009Finding good (or even just feasible) solutions for Mixed-Integer Nonlinear Programming problems independently of the specific problem structure is a very hard but practically useful task, especially when the objective and/or the constraints are nonconvex.
Leo Liberti +2 more
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Gas network optimization by MINLP
2014Ein Viertel des europäischen Energiebedarfs wird durch Gas gedeckt, das durch ein europaweites Pipelinesystem verteilt wird. Aufgrund von Ausbaukosten von 1 Mio. Euro pro Kilometer ist der Netzausbau ein Milliardenunterfangen. Die größte Herausforderung besteht darin zu entscheiden, wie das Netzwerk kostengünstig ausgebaut und genutzt werden kann, um ...
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MINLP-Optimierung von Reaktivrektifikationskolonnen
Chemie Ingenieur Technik, 2000Th. Frey, J. Stichlmair
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